Building a Custom Clinical Development Data Pipeline for Kiniksa Pharmaceuticals
Challenge:
Kiniksa Pharmaceuticals needed a scalable Clinical Development Data Pipeline (CDDP) to manage and process clinical data efficiently. The absence of an integrated system led to delays in study management and limited insights for decision-making.
Requirements Gathering:
Engaged with stakeholders to identify data processing needs and challenges in clinical data management.
Pipeline Design:
Architected a robust CDDP application using AWS tools like S3 for storage, Lambda for serverless computing, Redshift for data warehousing, and Glue for ETL processes.
Visualization:
Developed Tableau dashboards for real-time visualization of clinical study data, enabling faster, data-driven decisions.
Documentation:
Authored a comprehensive SOP covering all CDDP processes, from data ingestion to analytics, ensuring consistency and easy onboarding for new users.
Results:
Reduced data processing times by 40%, accelerating clinical study timelines.
Improved data accessibility and decision-making with dynamic Tableau dashboards.
Standardized pipeline operations, reducing errors and enhancing scalability.
